Enterprise-Multi-AI-Agent-Systems-

Enterprise-Multi-AI-Agent-Systems provides a framework to deploy and manage multiple AI agents that can perform tasks concurrently. Agents can be configured with real-time web search capabilities via the Tavily API, enabling live information retrieval during task execution. The system is designed around a FastAPI-based service that coordinates agent creation, task assignment, and performance monitoring. Use the included dashboard to create new agents, set priorities, and observe progress metrics such as task completion rates. When running on AWS ECS Fargate, the platform can scale horizontally to support a larger number of agents or higher workloads. This makes it suitable for complex automation workflows, research tasks, or enterprise-grade automation pipelines.

Prerequisites:

• Python 3.8+ installed on the host
• Git available to clone the repository
• Optional: virtual environment tool (venv) for isolation

1. Clone the repository: git clone https://github.com/omri3193/Enterprise-Multi-AI-Agent-Systems-.git cd Enterprise-Multi-AI-Agent-Systems-

2. Create and activate a virtual environment (recommended): python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install dependencies: pip install -r requirements.txt

4. Configure environment variables (example): export TAVILY_API_KEY=your-tavily-api-key export DATABASE_URL=postgresql://user:pass@host:port/dbname export SECRET_KEY=your-secret-key

5. Run the application (development): python -m enterprise_multi_ai_agent_systems

6. Optional: run with a production server (example using uvicorn): uvicorn enterprise_multi_ai_agent_systems.app:app --host 0.0.0.0 --port 8000

Notes:

• If you are deploying on AWS ECS Fargate, containerize the app and configure the service according to your cluster setup.
• Ensure network access to the Tavily API and any data stores you use.

Tips and common issues:

• Ensure your Tavily API key is valid; without it, real-time web search features will be unavailable.
• When running behind a corporate proxy, set HTTP(S)_PROXY environment variables so the app can fetch external resources.
• If you change the port, update FASTAPI_PORT in the environment and ensure security groups allow the chosen port.
• For production deployments, consider setting a persistent database URL and a secure SECRET_KEY.
• Monitor resource usage (CPU/RAM) as multiple agents run concurrently; scale your ECS Fargate task definitions accordingly.